Complete next-to-leading order calculation of single inclusive π0 production in forward proton-nucleus collisions
Mäntysaari, H., & Tawabutr, Y. (2024). Complete next-to-leading order calculation of single inclusive π0 production in forward proton-nucleus collisions. Physical Review D, 109(3), Article 034018. https://doi.org/10.1103/PhysRevD.109.034018
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Physical Review DDate
2024Copyright
© Authors 2024
We present the first fully consistent calculation of inclusive π0 production at forward rapidities at next-to-leading order (NLO) accuracy in proton-lead collisions at √s=8.16 TeV within the color glass condensate approach. The center-of-mass energy dependence is determined by the Balitsky-Kovchegov equation with the initial condition constrained at NLO accuracy by the proton structure function measurements. We find that the LHCb data further constrain this nonperturbative input, and that both the NLO corrections to the evolution equation and to the impact factor have significant effects on the nuclear modification factor RpPb. The complete NLO calculation is shown to be in qualitative agreement with the LHCb data, and the predictions are found to be sensitive to the details of the applied deep inelastic scattering (DIS) fit. These results demonstrate the need to perform global analyses of DIS and LHC data in order to probe gluon saturation phenomena at precision level at very small momentum fraction x.
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American Physical Society (APS)ISSN Search the Publication Forum
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https://converis.jyu.fi/converis/portal/detail/Publication/213398462
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Research Council of Finland; European CommissionFunding program(s)
Research costs of Academy Research Fellow, AoF; RIA Research and Innovation Action, H2020; Academy Research Fellow, AoF; ERC Advanced Grant
The content of the publication reflects only the author’s view. The funder is not responsible for any use that may be made of the information it contains.
Additional information about funding
This work was supported by the Research Council of Finland, the Centre of Excellence in Quark Matter and Projects No. 338263 and No. 346567. This work was also supported under the European Union’s Horizon 2020 research and innovation programme by the European Research Council (ERC, Grant Agreement No. ERC-2018-ADG-835105 YoctoLHC) and by the STRONG-2020 project (Grant Agreement No. 824093). Computing resources from the Finnish Grid and Cloud Infrastructure (persistent identifier urn:nbn:fi:research-infras-2016072533) were used in this work. The content of this article does not reflect the official opinion of the European Union and responsibility for the information and views expressed therein lies entirely with the authors. ...License
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